Bachelorarbeit, 2022
43 Seiten, Note: 78.00
This project seeks to examine the dynamics of housing rent in Voi Town and its environs, providing a thorough analysis of factors influencing rental prices. The study aims to understand the relationship between various housing characteristics and rental costs, ultimately contributing to a better understanding of the housing market in the area.
Chapter one introduces the research problem, highlighting the significance of understanding housing rent dynamics in Voi Town and its environs. It outlines the objectives of the study, providing a framework for the subsequent analysis.
Chapter two reviews relevant literature, exploring theoretical frameworks that explain housing rent dynamics. This section delves into various theories, including Smith's gap theory, information asymmetry theory, and the residual income approach. It also presents a conceptual framework outlining the key variables and their relationships, guiding the research.
Chapter three details the research methodology employed in the study. It describes the research design, target population, and sampling methods. The chapter outlines data collection methods and instruments, including the source of data and procedures for data management. It also discusses ethical considerations and data analysis strategies used in the study.
Chapter four delves into data analysis, presentation, interpretation, and discussion. This section presents descriptive statistics, including distributions of households by residence and type of house, average rent by type of house, and analyses of floor status and main wall materials. It further explores inferential statistics, specifically through multiple linear regression analysis to assess the relationship between various variables and rental prices.
This research focuses on housing rent dynamics in Voi Town and its environs, employing various statistical techniques to analyze the relationship between housing characteristics and rental prices. Key keywords include housing rent dynamics, Voi Town, statistical analysis, housing characteristics, rental prices, and regression analysis.
Key determinants include the type of house, structural characteristics (wall and floor materials), housing demand, and household income levels.
Data was gathered using structured questionnaires on the Kobo-Collect mobile platform from a sample of 384 households across 23 locations in Voi.
It is a theoretical framework used to explain the difference between current ground rent and potential ground rent under a different use, often applied in urban dynamics studies.
Yes, structural characteristics like main wall materials are significant variables analyzed in the regression model to determine rental costs.
The study employed Multiple Linear Regression analysis to identify the relationship between various housing factors and rental prices.
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